15 publicaciones de empleo destacadas en data engineer (databricks) (¡Están contratando!)

Engineering and Quality - Data Engineer
Fitch Group —Monterrey, N. L.
- Python
- Permiso de maternidad y paternidad
AI Data Engineer Specialist
Accenture —Monterrey, N. L.
- Tiempo completo
- Azure
- Inglés
- SQL
Software Engineering Advisor - ETL Developer
Accenture —Monterrey, N. L.
- Tiempo completo
- Inglés
- SQL
- Licenciatura
Supply Chain Business Intelligence Engineer
Ford Motor Company —Naucalpan, Méx.
- Azure
- Informática
- Análisis de datos
10d
Supply Chain Business Intelligence Engineer
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Azure
- Informática
- Análisis de datos
10d
Engineering & Quality - Software Engineer
Fitch Group —Monterrey, N. L.
- Azure
- Python
- Permiso de maternidad y paternidad
Oliver Wyman - Advanced Analytics Engineer - Mexico City
Oliver Wyman —City, Hgo.
- Tiempo completo
- Azure
- SQL
- Python
JR-183528 SAP BW Consultant Lead
Customertimes —Ciudad de México, CDMX
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Azure - Data Engineer
Citi Value in Real Time —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Python
Postulación rápida
Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO
Scalepex —México
- Home Office (Desde casa)
- Administración de personal
- Java
- Experiencia en bases de datos
Postulación rápida
SAP Analytics Engineer (Datasphere)
Capgemini —México
- $1 por año
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior Data Engineer Bilingual
NORTHWARE SA DE CV —México
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Azure
- Inglés
- Seguro de vida
Postulación rápida
Senior Data Engineer
SunnyData —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
Big Data Developer
Grid Dynamics —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- SQL
- Seguro de la vista
- Seguro de vida

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Engineering and Quality - Data Engineer

Fitch Group -
Monterrey, N. L.

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Información del empleo

Beneficios

Permiso de maternidad y paternidad

Cualificaciones

Spark
AWS Certification
Git
Pandas
Redis
S3
Kafka
GraphQL
Redshift
Informatica
RDS
Python
Gestión de identidades y accesos

Descripción completa del empleo

Requisition ID: 50053

Business Unit: Fitch Group

Category: Information Technology

Location: Monterrey, MX

Date Posted: Jun 24, 2026

Fitch Group is currently seeking a Engineering & Quality – Data Engineer based out of our Monterrey, Mexico office.

As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.

Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.

Want to learn more about a career in technology and data at Fitch?

Visit: https://careers.fitch.group/content/Technology-and-Data/

How You’ll Make an Impact:

Contribute as a member of a high-performing data engineering team, by implementing modern scalable data solutions aligned with business priorities.

Partner with the CDO team and data product leaders to implement the vision for an AWS-based data platform that enables enterprise-wide self-service, unlocking data for AI, analytics, and innovation.

Implement architectural decisions and establish best practices for data ingestion, transformation, and distribution frameworks that accelerate time-to-insight for data producers and consumers.

Champion adoption of emerging technologies such as Agentic AI and Generative AI, integrating advanced capabilities into data workflows to enhance user experience and position the organization as “AI-Ready.”

Ensure operational excellence and reliability by proactively addressing complex data engineering challenges, implementing robust quality controls, and preventing production incidents.

You May be a Good Fit if:

3-5 years’ experience ‘hands-on’ as a member of a highly technical data-centric software engineers, preferably in financial services, in support of Data Lake houses (e.g. AWS, Databricks, Snowflake), data virtualizations solutions (e.g. Starburst), modern data catalogs & data quality capabilities (e.g. Collibra), and Master Data Management (e.g. Informatica)

Proven AWS expertise (S3, EKS, Lambda, Glue, EMR, Redshift, S3, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, Event Bridge).

AWS Certification strongly preferred

Experience applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q).

Strong Python for data engineering (Pandas, Spark/PySpark) and API Development (FastAPI or similar).

Design and build high-performance REST/GraphQL APIs with optimized query patterns, pagination, caching, and schema design to ensure low-latency, performant reads at scale.

Build ETL/ELT pipelines for batch and streaming; Kafka/MSK with schemas (Avro/JSON) and delivery semantics.

Optimize performance of object-based and relational datastores

Design applications with microservices and containerization mindset with ‘decoupling’ architectural principles

Caching with Valkey/Redis: TTL strategies, invalidation, key design.

CI/CD and IaC with GitHub, Git/GitHub workflows, ArgoCD.

Security and reliability: IAM, KMS, secrets, VPC networking, observability (OpenTelemetry), SLOs, cost governance.

Ability to solve complex data-driven requirements and triage towards defects and production bugs

Technology solutions and tools including data governance and catalog solutions (e.g. Collibra, Alation, data platform and lake(house) (i.e. ‘medallion’ architecture), and data mesh and virtualization tools (e.g. Starburst, Denodo) .

What Would Make You Stand Out:

Hands-on experience building AI agents (e.g., using LangChain or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails through rigorous testing and evaluation.

Applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q) and using agentic AI to automate workflows such as code reviews, test generation, data quality checks, and runbook execution.

Experience working with AI connection protocols (e.g., MCP, A2A) that ensure secure, interoperable, observable, and vendor-agnostic communication with authenticated, auditable messaging and robust error handling

Caching with Valkey/Redis: TTL strategies, invalidation, key design.

Experience with forming strong partnerships with stakeholders and product teams

Great interpersonal and collaboration skills

Ability to translate technical concepts to non-technical stakeholders.

Why Choose Fitch:

Work-Life Balance First: 40% in-office monthly stay connected while keeping flexibility.

A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity

Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals

Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing

Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively

Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe

Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community

Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.

Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

#LI-MB1 #LI-Hybrid

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data engineer (databricks) empleos

Engineering and Quality - Data Engineer

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